Short-term probabilistic transmission congestion forecasting

3rd International Conference on Deregulation and Restructuring and Power Technologies, DRPT 2008

Volumn , Issue , 2008, Pages 764-770

  Min, Liang ^a,c   Lee, Stephen T ^a,c   Zhang, Pei ^a,c   Rose, Virgil ^b,c   Cole, James ^b  

^a ELECTRIC POWER RESEARCH INSTITUTE   (United States)

^b University of California Office of the President   (United States)

^c IEEE

Author keywords

Congestion forecasting; Monte Carlo Simulation (MCS); Probabilistic load flow; Probability distribution

Indexed keywords

DEREGULATION; ELECTRIC LOAD FORECASTING; FLOW SIMULATION; FORECASTING; INDUSTRIAL ECONOMICS; MONTE CARLO METHODS; PROBABILITY; TECHNOLOGY; WINDOWS;

CALIFORNIA; CALIFORNIA ENERGY COMMISSION; CONCEPTUAL FRAMEWORKS; CONFIDENCE LEVELS; CONFIDENCE LIMITS; CONGESTION FORECASTING; EQUIVALENT SYSTEM; INTERNATIONAL CONFERENCES; KEY INPUT; MONTE CARLO SIMULATION (MCS); POTENTIAL BENEFITS; POWER TECHNOLOGIES; PROBABILISTIC FORECASTING; PROBABILISTIC LOAD FLOW; PROBABILISTIC METHODS; PROBABILITY DISTRIBUTION; SEQUENTIAL MONTE CARLO SIMULATION; TRANSMISSION CONGESTION;

PROBABILITY DISTRIBUTIONS;

EID: 49649117677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DRPT.2008.4523508     Document Type: Conference Paper

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